Tony Bell: Difference between revisions

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132 Barker, MC #3190 <br />
132 Barker, MC #3190 <br />
Berkeley, CA 94720-3190 <br />
Berkeley, CA 94720-3190 <br />
phone (415) 699 6502 <br />
phone (415) 568-0346 <br />
fax (510) 643-4952 <br />
fax (510) 643-4952 <br />
<tbell at berkeley dot edu><br />
tbell@berkeley.edu <br />
<br style="clear:both;" />
<br style="clear:both;" />


== Research Interests ==
== Research Interest ==


My current interests are:-
(This webpage is under reconstruction. Only a few essential links are posted here.)


(1) to unify ideas from probabilistic machine learning
Here's my [http://www.snl.salk.edu/~tony Salk web-page] from way back.
with the cross-level information flows that occur in the biological hierarchy.
The test-case is to explain synaptic, dendritic and axonal learning as an
information flow between neurons and synapses


(2) to develop simple algorithms that capture the statistical structure of
Here's me giving a 30 minute talk [http://thesciencenetwork.org/programs/brains-r-us-2/tony-bell Levels, Time and Models] about Levels in Biology. <br>
multivariate signals


I know this requires some explanation. At some later date, I will embellish
Here's the only paper I have written on the Levels issue. It covers my thinking up till about 2008: <br>
this page and add the publications.
[http://www.irp.oist.jp/ocnc/2008/bell07.pdf Towards a cross-level theory of neural learning]
 
There are new results on time series analysis coming :)

Latest revision as of 10:50, 14 September 2010

Tony.jpg

Anthony J. Bell Ph.D.
Redwood Center for Theoretical Neuroscience
UC Berkeley
132 Barker, MC #3190
Berkeley, CA 94720-3190
phone (415) 568-0346
fax (510) 643-4952
tbell@berkeley.edu

Research Interest

(This webpage is under reconstruction. Only a few essential links are posted here.)

Here's my Salk web-page from way back.

Here's me giving a 30 minute talk Levels, Time and Models about Levels in Biology.

Here's the only paper I have written on the Levels issue. It covers my thinking up till about 2008:
Towards a cross-level theory of neural learning

There are new results on time series analysis coming :)